Abstract
This paper proposes an encryption-based image watermarking scheme for medical images using a customized quantization of wavelet coefficient and a crypto system based on the chaotic cipher of Singular Value Decomposition (SVD). In order to spread the robustness of our algorithm and provide extra security, an improved SVD-CHAOS embedding and extraction procedure has been used to scramble the watermark logo in the preprocessing step of the proposed method. In the process of watermark embedding, an R-level discrete wavelet transform was applied to the host image. The high frequency wavelet coefficients are selected to carry these scrambled-watermarks by using adaptive quantization low bit modulation (LBM). The proposed image watermarking method endures entirety attacks and rightly extracts the hidden watermark without significant degradation in the image quality, Thus, when the Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC) performance of the proposed algorithm is compared with other related techniques.
Highlights
Digital watermarking is a form of data hiding, describes the process of embedding information,fo r example a number or a text or an image, into the digital media, such as a piece of audio, video, or image to protect the copyright, benefit of the investor and legal rights of owners
This paper presents a robust crypto-watermarking algorithm for medical images based on a Discrete Wavelet Transform (DWT) and a Chaos cryptosystem-Singular Value Decomposition (SVD) (Singular value decomposition)
The main idea of the zero-watermarking embedding in medical imaging is that the watermark is not inserted directly in the image itself, the watermarking process does not affect any modification to the image, Hidden features are extracted from the original image and combined with the watermark, and encrypted, and a key is produced, the extraction of internal representative feature information from the image data is the critical phase in the zerowatermarking approach
Summary
Digital watermarking is a form of data hiding, describes the process of embedding information,fo r example a number or a text or an image, into the digital media, such as a piece of audio, video, or image to protect the copyright, benefit of the investor and legal rights of owners. Most hospitals and healthcare systems involve a large amount of data storage and transmission, such as medical images, patient information and administrative documents. When we transmit the diagnosis medical images through the Internet, the patients' personal information recorded on the medical images is subject to counterfeiting, tampering, or disordering This problem can be well solved through medical image digital watermarking [3–4], namely, embedding the personal information into medical images as a digital watermark. The geometric attack is so far a major problem to be solved in the research field of digital watermarking for medical images. The study of medical images needs to tackle the problem of disclosing and changing patients’ information or privacy in the process of watermark extraction. Patient’s information can be protected from illegal access by watermarking techniques These applications include medical imaging, telehealth, and telemedicine, among others.
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